# frozen_string_literal: true # Copyright 2024 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Auto-generated by gapic-generator-ruby. DO NOT EDIT! module Google module Cloud module AIPlatform module V1 # A query to retrieve relevant contexts. # @!attribute [rw] text # @return [::String] # Optional. The query in text format to get relevant contexts. # @!attribute [rw] rag_retrieval_config # @return [::Google::Cloud::AIPlatform::V1::RagRetrievalConfig] # Optional. The retrieval config for the query. class RagQuery include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Request message for # {::Google::Cloud::AIPlatform::V1::VertexRagService::Client#retrieve_contexts VertexRagService.RetrieveContexts}. # @!attribute [rw] vertex_rag_store # @return [::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore] # The data source for Vertex RagStore. # @!attribute [rw] parent # @return [::String] # Required. The resource name of the Location from which to retrieve # RagContexts. The users must have permission to make a call in the project. # Format: # `projects/{project}/locations/{location}`. # @!attribute [rw] query # @return [::Google::Cloud::AIPlatform::V1::RagQuery] # Required. Single RAG retrieve query. class RetrieveContextsRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The data source for Vertex RagStore. # @!attribute [rw] rag_resources # @return [::Array<::Google::Cloud::AIPlatform::V1::RetrieveContextsRequest::VertexRagStore::RagResource>] # Optional. The representation of the rag source. It can be used to specify # corpus only or ragfiles. Currently only support one corpus or multiple # files from one corpus. In the future we may open up multiple corpora # support. # @!attribute [rw] vector_distance_threshold # @deprecated This field is deprecated and may be removed in the next major version update. # @return [::Float] # Optional. Only return contexts with vector distance smaller than the # threshold. class VertexRagStore include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # The definition of the Rag resource. # @!attribute [rw] rag_corpus # @return [::String] # Optional. RagCorpora resource name. # Format: # `projects/{project}/locations/{location}/ragCorpora/{rag_corpus}` # @!attribute [rw] rag_file_ids # @return [::Array<::String>] # Optional. rag_file_id. The files should be in the same rag_corpus set # in rag_corpus field. class RagResource include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end # Relevant contexts for one query. # @!attribute [rw] contexts # @return [::Array<::Google::Cloud::AIPlatform::V1::RagContexts::Context>] # All its contexts. class RagContexts include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # A context of the query. # @!attribute [rw] source_uri # @return [::String] # If the file is imported from Cloud Storage or Google Drive, source_uri # will be original file URI in Cloud Storage or Google Drive; if file is # uploaded, source_uri will be file display name. # @!attribute [rw] source_display_name # @return [::String] # The file display name. # @!attribute [rw] text # @return [::String] # The text chunk. # @!attribute [rw] score # @return [::Float] # According to the underlying Vector DB and the selected metric type, the # score can be either the distance or the similarity between the query and # the context and its range depends on the metric type. # # For example, if the metric type is COSINE_DISTANCE, it represents the # distance between the query and the context. The larger the distance, the # less relevant the context is to the query. The range is [0, 2], while 0 # means the most relevant and 2 means the least relevant. class Context include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Response message for # {::Google::Cloud::AIPlatform::V1::VertexRagService::Client#retrieve_contexts VertexRagService.RetrieveContexts}. # @!attribute [rw] contexts # @return [::Google::Cloud::AIPlatform::V1::RagContexts] # The contexts of the query. class RetrieveContextsResponse include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Request message for AugmentPrompt. # @!attribute [rw] vertex_rag_store # @return [::Google::Cloud::AIPlatform::V1::VertexRagStore] # Optional. Retrieves contexts from the Vertex RagStore. # @!attribute [rw] parent # @return [::String] # Required. The resource name of the Location from which to augment prompt. # The users must have permission to make a call in the project. # Format: # `projects/{project}/locations/{location}`. # @!attribute [rw] contents # @return [::Array<::Google::Cloud::AIPlatform::V1::Content>] # Optional. Input content to augment, only text format is supported for now. # @!attribute [rw] model # @return [::Google::Cloud::AIPlatform::V1::AugmentPromptRequest::Model] # Optional. Metadata of the backend deployed model. class AugmentPromptRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Metadata of the backend deployed model. # @!attribute [rw] model # @return [::String] # Optional. The model that the user will send the augmented prompt for # content generation. # @!attribute [rw] model_version # @return [::String] # Optional. The model version of the backend deployed model. class Model include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Response message for AugmentPrompt. # @!attribute [rw] augmented_prompt # @return [::Array<::Google::Cloud::AIPlatform::V1::Content>] # Augmented prompt, only text format is supported for now. # @!attribute [rw] facts # @return [::Array<::Google::Cloud::AIPlatform::V1::Fact>] # Retrieved facts from RAG data sources. class AugmentPromptResponse include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Request message for CorroborateContent. # @!attribute [rw] parent # @return [::String] # Required. The resource name of the Location from which to corroborate text. # The users must have permission to make a call in the project. # Format: # `projects/{project}/locations/{location}`. # @!attribute [rw] content # @return [::Google::Cloud::AIPlatform::V1::Content] # Optional. Input content to corroborate, only text format is supported for # now. # @!attribute [rw] facts # @return [::Array<::Google::Cloud::AIPlatform::V1::Fact>] # Optional. Facts used to generate the text can also be used to corroborate # the text. # @!attribute [rw] parameters # @return [::Google::Cloud::AIPlatform::V1::CorroborateContentRequest::Parameters] # Optional. Parameters that can be set to override default settings per # request. class CorroborateContentRequest include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Parameters that can be overrided per request. # @!attribute [rw] citation_threshold # @return [::Float] # Optional. Only return claims with citation score larger than the # threshold. class Parameters include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end # Response message for CorroborateContent. # @!attribute [rw] corroboration_score # @return [::Float] # Confidence score of corroborating content. Value is [0,1] with 1 is the # most confidence. # @!attribute [rw] claims # @return [::Array<::Google::Cloud::AIPlatform::V1::Claim>] # Claims that are extracted from the input content and facts that support the # claims. class CorroborateContentResponse include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The fact used in grounding. # @!attribute [rw] query # @return [::String] # Query that is used to retrieve this fact. # @!attribute [rw] title # @return [::String] # If present, it refers to the title of this fact. # @!attribute [rw] uri # @return [::String] # If present, this uri links to the source of the fact. # @!attribute [rw] summary # @return [::String] # If present, the summary/snippet of the fact. # @!attribute [rw] vector_distance # @deprecated This field is deprecated and may be removed in the next major version update. # @return [::Float] # If present, the distance between the query vector and this fact vector. # @!attribute [rw] score # @return [::Float] # If present, according to the underlying Vector DB and the selected metric # type, the score can be either the distance or the similarity between the # query and the fact and its range depends on the metric type. # # For example, if the metric type is COSINE_DISTANCE, it represents the # distance between the query and the fact. The larger the distance, the less # relevant the fact is to the query. The range is [0, 2], while 0 means the # most relevant and 2 means the least relevant. class Fact include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # Claim that is extracted from the input text and facts that support it. # @!attribute [rw] start_index # @return [::Integer] # Index in the input text where the claim starts (inclusive). # @!attribute [rw] end_index # @return [::Integer] # Index in the input text where the claim ends (exclusive). # @!attribute [rw] fact_indexes # @return [::Array<::Integer>] # Indexes of the facts supporting this claim. # @!attribute [rw] score # @return [::Float] # Confidence score of this corroboration. class Claim include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end end end end